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Augmented reality system training for minimally invasive spine surgery
Liu XZ(刘晓壮)1,2; Bai H(白华)1; Song GL(宋国立)1; Zhao YW(赵忆文)1; Han JD(韩建达)1
Department机器人学研究室
Conference Name2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017
Conference DateDecember 5-8, 2017
Conference PlaceMacau, China
Author of SourceBeijing Institute of Technology ; City University of Hong Kong ; IEEE Robotics and Automation Society ; Shenzhen Academy of Robotics ; University of Hong Kong ; University of Macau
Source PublicationProceedings of the 2017 IEEE International Conference on Robotics and Biomimetics
PublisherIEEE
Publication PlaceNew York
2017
Pages1200-1205
Indexed ByEI
EI Accession number20182905568695
Contribution Rank1
ISBN978-1-5386-3741-8
KeywordPedicle screw Augmented reality Surgery training Spine minimally invasive surgery Real force feedback
AbstractThe minimally invasive spine surgery has been popular in recent years as it reduces the chances of complications during intraoperation and postoperation. However, the procedure of pedicle screw insertion is complicated and has a steep learning curve during this surgery. A minimally invasive spine system training is developed with real force feedback and an assessment of performance as a training tool for a common spine minimally invasive procedure-pedicle screw insertion, helping to minimize possible risks and expenses due to the learning curve of trainees. The minimally invasive spine system training based on augmented reality consists of a physical and a virtual components. A physical model of the spine is created with a three-dimensional printer using specific patient data. The virtual one is created with the computed tomography scan of the physical spine model attached with four markers displaying on a screen of computer called the virtual three-dimensional space. Two IR cameras are used to track the movement of the training instrument in the real-world space. The position of the training instrument in virtual three-dimensional space can be obtained by the space registration algorithm according to the position of the training instrument in the real-world space. Using the aforementioned techniques, we have developed the minimally invasive spine system training providing the trainee with real force feedback in real time and creating a standardized scoring system that compares a trainee's performance to that of an expert. The design and implementation of the minimally invasive spine system training are presented.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/22128
Collection机器人学研究室
Corresponding AuthorSong GL(宋国立)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Northeastern University, Shenyang, China
Recommended Citation
GB/T 7714
Liu XZ,Bai H,Song GL,et al. Augmented reality system training for minimally invasive spine surgery[C]//Beijing Institute of Technology, City University of Hong Kong, IEEE Robotics and Automation Society, Shenzhen Academy of Robotics, University of Hong Kong, University of Macau. New York:IEEE,2017:1200-1205.
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